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Engineering Maintenance Lead in Austin

81 active opportunities · Updated October 2026

Explore current engineering maintenance lead jobs in Austin. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing

C$100K – C$500K/yr

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a SoC Physical Design Verification Engineer to drive full-chip signoff and ensure manufacturable, high-quality silicon across advanced technology nodes. You’ll lead physical verification closure (DRC, LVS, ERC, etc.), debug issues using standard industry PV tools, and collaborate across RTL, PD, CAD, and packaging teams to achieve successful tapeouts. If you thrive in a fast-paced environment and enjoy solving complex challenges in cutting-edge silicon, we’d love to hear from you. This role is hybrid , based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A seasoned engineer with a strong background in CPU/IP/SoC physical verification and tapeout closure. A hands-on problem solver who excels at debugging and driving signoff through complex verification flows. A collaborative team player who works effectively across RTL, PD, CAD, and foundry interfaces. A mentor and technical leader passionate about building efficient, manufacturable silicon. What We Need BS/MS in Electrical/Electronics Engineering (or related) with 7–14 years of hands-on CPU/IP/SoC physical verif

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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives, spanning AI research specialists, silicon designers, software engineers and systems architects. Job Summary We are looking for an experienced Principal Engineer to join our System Management team and help lead the development of critical interfaces used by internal and external customers to manage system state. You will provide technical leadership within assigned areas of System Management, guide architecture and implementation choices, mentor engineers and translate broader technical direction into effective execution. This is a hands-on engineering role for someone who can lead complex technical work, improve reliability and operational readiness, and collaborate effectively across multiple engineering disciplines. The Team The System Management team sits within the Software Platform group and helps build Graphcore products into large-scale AI solutions for our customers. The team is responsible for developing the interfaces between hardware, AI software and frameworks, as well as providing interfaces for public and private cloud environments. This includes system management capabilities that abstract complex hardware administration and enable reliable deployment and operation at scale. As one of the first teams to work with new hardware and software, we regularly solve complex system-level problems

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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
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Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug compl

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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Staff -Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debu

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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced Silicon Test Engineer to join our Product Test and Diagnosis Department (PTD). This is a pivotal role and will involve building a team of engineers to develop System Level Test (SLT) capability within the company. Working closely with a cross-functional team you will implement SLT tests for a family of next generation AI Processors. The ideal candidate should have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. T hey will have a proven Functional Test or ATE Test Engineering background, and will have a pragmatic, hands-on and flexible approach to a fast-changing environment. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Managing a team of

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📍 Austin, Texas, United States· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Senior Principal Network Engineer to help design, deploy, and optimize next‑generation AI data center networks. AI training and inference workloads require extremely high bandwidth, deterministic low latency, and zero‑packet‑loss networking environments. In this role, you will partner closely with the Network Architecture Lead to design and scale high‑performance computing (HPC) network fabrics supporting GPU clusters. You will work across hardware, networking, and AI application layers to ensure Graphcore’s large‑scale AI infrastructure operates at peak performance. The ideal candidate brings deep experience operating hyperscale or HPC data center networks and has expertise in high‑speed Ethernet fabrics, RDMA technologies, advanced automation, and telemetry systems. The Team The Data Center Network Engineering team designs and operates the high‑performance network fabrics that power Graphcore’s AI compute platforms. The team collaborates closely with hardware engineering, AI researchers, and infrastructure teams to build scalable networking environments optimized for distributed training and infe

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